File size: 3,213 Bytes
6ce2040 c362df0 6ce2040 91b42a3 6ce2040 dac6664 6ce2040 91b42a3 6ce2040 6f1e42e 6ce2040 c362df0 ff4de77 6ce2040 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 |
---
base_model: perlthoughts/Chupacabra-8x7B-MoE
language:
- en
library_name: transformers
license: apache-2.0
no_imatrix: '[ 1/ 995] blk.0.ffn_up.4.weight - [ 4096, 14336, 1, 1],
type = f16, converting to iq3_xxs .. Oops: found point 1016 not on grid: 8 127
0 0'
quantized_by: mradermacher
tags:
- moe
---
## About
weighted/imatrix quants of https://huggingface.co/perlthoughts/Chupacabra-8x7B-MoE
(llama crashed when trying to create I-quants, so only normal ones provided)
<!-- provided-files -->
## Usage
If you are unsure how to use GGUF files, refer to one of [TheBloke's
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
more details, including on how to concatenate multi-part files.
## Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
| Link | Type | Size/GB | Notes |
|:-----|:-----|--------:|:------|
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-IQ2_M.gguf) | i1-IQ2_M | 15.4 | |
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-Q2_K.gguf) | i1-Q2_K | 17.6 | IQ3_XXS probably better |
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-Q3_K_S.gguf) | i1-Q3_K_S | 20.7 | IQ3_XS probably better |
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-Q3_K_M.gguf) | i1-Q3_K_M | 22.8 | IQ3_S probably better |
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-Q3_K_L.gguf) | i1-Q3_K_L | 24.4 | IQ3_M probably better |
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-Q4_K_S.gguf) | i1-Q4_K_S | 27.0 | optimal size/speed/quality |
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-Q4_K_M.gguf) | i1-Q4_K_M | 28.7 | fast, recommended |
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-Q5_K_S.gguf) | i1-Q5_K_S | 32.5 | |
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-Q5_K_M.gguf) | i1-Q5_K_M | 33.5 | |
| [GGUF](https://huggingface.co/mradermacher/Chupacabra-8x7B-MoE-i1-GGUF/resolve/main/Chupacabra-8x7B-MoE.i1-Q6_K.gguf) | i1-Q6_K | 38.6 | practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
## FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to
questions you might have and/or if you want some other model quantized.
## Thanks
I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
me use its servers and providing upgrades to my workstation to enable
this work in my free time.
<!-- end -->
|